{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "db501899-6af9-4227-b21c-281162abc0c1",
   "metadata": {},
   "source": [
    "# 饼状图"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f475bd0-d42a-4a19-9338-068db15f63a3",
   "metadata": {},
   "source": [
    "pie 方法的一些主要参数的详细介绍：\n",
    "- x：这是一个数组或列表，包含了每个扇区的数值。这些数值通常是各部分的大小或比例。\n",
    "- labels：这是一个与 x 长度相同的数组或列表，用于标注每个扇区的名称。\n",
    "- colors：这是一个与 x 长度相同的数组或列表，用于指定每个扇区的颜色。可以是颜色字符串（如 'r' 表示红色）。\n",
    "- explode：这是一个与 x 长度相同的数组或列表，用于指定每个扇区是否突出显示。值越大，扇区突出的距离越远。\n",
    "- autopct：这是一个格式化字符串或函数，用于在每个扇区上显示百分比。例如，'%1.1f%%' 会在每个扇区上显示一位小数的百分比。\n",
    "- pctdistance：这是一个浮点数，指定了百分比标签相对于圆心的距离。默认值是 0.6。\n",
    "- labeldistance：这是一个浮点数，指定了标签相对于圆心的距离。默认值是 1.1。\n",
    "- startangle：这是一个角度值，指定了第一个扇区的起始角度。默认值是 0 度。\n",
    "- radius：这是一个浮点数，指定了饼状图的半径。默认值是 1。\n",
    "- counterclock：这是一个布尔值，指定了扇区的排列方向。如果为 True，则顺时针排列；如果为 False，则逆时针排列。\n",
    "- wedgeprops：这是一个字典，用于设置扇区的属性，如边框颜色和宽度。例如，{'linewidth': 2, - -'edgecolor': 'black'}。\n",
    "- textprops：这是一个字典，用于设置文本标签的属性，如字体大小和颜色。例如，{'fontsize': 14,'color': 'blue'}。\n",
    "- center：这是一个元组，指定了饼状图的中心位置。默认值是 (0, 0)。\n",
    "- frame：这是一个布尔值，如果为 True，则在饼状图周围绘制一个框架。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6041f5ea-a447-453f-ab8e-d0677a8abfd5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "496dbe53-9da8-48cd-b7c5-b7da1824e823",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['font.sans-serif'] = 'SimHei'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b4d62a03-c39a-4648-90ee-769771886a14",
   "metadata": {},
   "outputs": [],
   "source": [
    "labels = [\"五星\", \"四星\", \"三星\", \"二星\", \"一星\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fd0e28c6-f132-4472-acb9-4c3a2f46de3a",
   "metadata": {},
   "outputs": [],
   "source": [
    "percent = [5, 20, 278, 152, 9]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "636949ea-9946-4cb1-8007-78eab25fed55",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 750x750 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(5, 5), dpi=150)\n",
    "\n",
    "explode = (0, 0.1, 0, 0, 0)\n",
    "\n",
    "plt.pie(x=percent, explode=explode, labels=labels, autopct='%0.1f%%')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "61f863aa-8a70-4a73-8dec-1f244a5f33c9",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
